Joint resource allocation scheme for target tracking in distributed MIMO radar systems  

作　　者：ZHENG Na’e SUN Yang SONG Xiyu CHEN Song 

机构地区：[1]Data and Target Engineering Institute, PLA Strategic Support Force Information Engineering University

出　　处：《Journal of Systems Engineering and Electronics》2019年第4期709-719,共11页系统工程与电子技术（英文版）

基　　金：supported by the National Natural Science Foundation of China(61501513;61401469;41301481)

摘　　要：A joint resource allocation scheme concerned with the sensor subset,power and bandwidth for range-only target tracking in multiple-input multiple-output(MIMO)radar systems is proposed.By selecting an optimal subset of sensors with the predetermined size and implementing the power allocation and bandwidth strategies among them,this algorithm can help achieving a better performance within the same resource constraints.Firstly,the Bayesian Cramer-Rao bound(BCRB)is derived from it.Secondly,a criterion for minimizing the BCRB at the target location among all targets tracking in a certain range is derived.Thirdly,the optimization problem involved with three variable vectors is formulated,which can be simplified by deriving the relationship between the optimal power allocation vector and the bandwidth allocation vector.Then,the simplified optimization problem is solved by the cyclic minimization algorithm incorporated with the sequential parametric convex approximation(SPCA)algorithm.Finally,the validity of the proposed method is demonstrated with simulation results.A joint resource allocation scheme concerned with the sensor subset, power and bandwidth for range-only target tracking in multiple-input multiple-output(MIMO) radar systems is proposed. By selecting an optimal subset of sensors with the predetermined size and implementing the power allocation and bandwidth strategies among them, this algorithm can help achieving a better performance within the same resource constraints.Firstly, the Bayesian Cramer-Rao bound(BCRB) is derived from it.Secondly, a criterion for minimizing the BCRB at the target location among all targets tracking in a certain range is derived. Thirdly,the optimization problem involved with three variable vectors is formulated, which can be simplified by deriving the relationship between the optimal power allocation vector and the bandwidth allocation vector. Then, the simplified optimization problem is solved by the cyclic minimization algorithm incorporated with the sequential parametric convex approximation(SPCA) algorithm. Finally,the validity of the proposed method is demonstrated with simulation results.

关 键 词：distributed MULTIPLE-INPUT multiple-output(MIMO)radar target tracking JOINT RESOURCE alloction sensor SUBSET selection(SSS) optimal power and bandwidth allocation(OPBA) 

分 类 号：TN9[电子电信—信息与通信工程]